Abstract
The essential of management is: For definite purposes, using limited resource (time, manpower and asset) to make a series of decision under uncertain environment. In the past, management decision usually is made by project manager with his/her subjective judgment and subjective information to decide an action based on strategy instantaneously. However, what strategy is going to take? What action is later to follow up? Such process of decision making is characterized in its randomness, the decision quality is heavily depends upon the experiences and judgment of the decision maker, it is not a stable situation and the quality of decision cannot be guaranteed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
A guide to the Project Management Body of Knowledge (PMBOK Guide) (2020), 6th Ed., 7th Ed.
Ang, A.H.-S., & Tang, W. H. (2007). Probability concepts in engineering—Emphasis on applications in civil and environmental engineering. Wiley Inc.
Lin, S. (1998). Fuzzy-AI Model. In Proceedings of 2nd International Conference on Artificial Intelligence for Engineering (pp. 56–72), May, Wuhan, China.
Lin, S. (2005). On paradox of fuzzy modeling: supervised learning for rectifying fuzzy membership function. Artificial Intelligence Review, 23, 395–405.
Lin, S. (2008). “Fuzzy-AI Model” for managerial science. In Plenary Session Speech and Proceedings of 4th PMI Research Conference, 13–16 July, Warsaw, Poland.
Lin, S. (2014). The principle and methods of quantitative management—Fuzzy-AI Model in managerial science. Taiwan Project Management Network Co. Ltd., December (in Chinese) http://www.dooland.com/book/22286
Lin, S., & Yang, X. (1995). Intelligent data base supported system reliability control by successive precision of machine learning. In Proceedings of International Symposium on Uncertainty Modeling and Analysis, ISUMA’95, September, Maryland, USA.
Saaty, T. L. (1980). The analytic hierarchy process, planning, priority setting, resource allocation. McGraw Hill, Inc.
Wang, P. (1983). Fuzzy sets theory and its applications. Shanghai Press of Science and Technology (in Chinese).
Yang X., & Lin, S. (1995). Long-term highway system investment decision based on fuzzy model of comprehensive pavement distress. In Proceedings of ISUMA ’95, September.
Zadeh, L. A. (1965). Fuzzy sets, information and control (Vol. 8, pp. 338–353).
Zirmmermann, H. J. (1987). Fuzzy sets, decision making, and expert systems. Kluwer Academic Publishers.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2023 Springer Nature Singapore Pte Ltd. and Shanghai Jiao Tong University Press, Shanghai
About this chapter
Cite this chapter
Lin, S., Zhao, G. (2023). “Fuzz-AI Model” for Quantitative Management. In: Fuzzy Quantitative Management. Fuzzy Management Methods. Springer, Singapore. https://doi.org/10.1007/978-981-10-7688-6_2
Download citation
DOI: https://doi.org/10.1007/978-981-10-7688-6_2
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-7687-9
Online ISBN: 978-981-10-7688-6
eBook Packages: Business and ManagementBusiness and Management (R0)